HSV and NDVI Color Space Analysis and Sampling Procedure for Counting of Seedlings in Eucalyptus spp Plantations from High Definition Aerial Images

dc.contributor.authorFranze, Guilherme P. J.
dc.contributor.authorWoiski, Emanuel R. [UNESP]
dc.contributor.authorGoes, Luiz C. S.
dc.contributor.institutionAeronaut Inst Technol
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-04T11:55:58Z
dc.date.available2019-10-04T11:55:58Z
dc.date.issued2017-01-01
dc.description.abstractA methodology was developed in this work for the automatic counting of individual seedlings in plantations of Eucalyptus spp from high definition photographs with the help of Scientific Python Libraries from literature. The problem to be investigated was presented and two different ways of solving it were discussed together with their implications. With the algorithm properly validated on training data, an actual business case of seedlings detection and counting out of a mosaic aerial image was proposed as testing data. The high-definition pictures were taken by multispectral sensor onboard an UAV from an Eucalyptus spp plantation stand of approximately 25 hectares and provided by Eldorado Brasil. The results were considered very encouraging, stimulating future works in this line of research.en
dc.description.affiliationAeronaut Inst Technol, Dept Mec Eng, Sao Jose Dos Campos, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Mec Eng, Ilha Solteira, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Mec Eng, Ilha Solteira, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent456-462
dc.identifierhttp://dx.doi.org/10.1109/CSCI.2017.77
dc.identifier.citationProceedings 2017 International Conference On Computational Science And Computational Intelligence (csci). New York: Ieee, p. 456-462, 2017.
dc.identifier.doi10.1109/CSCI.2017.77
dc.identifier.urihttp://hdl.handle.net/11449/184224
dc.identifier.wosWOS:000455029500080
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartofProceedings 2017 International Conference On Computational Science And Computational Intelligence (csci)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectEucalyptus spp.
dc.subjectPython
dc.subjectImage processing
dc.subjectBinarized classification
dc.subjectPrecision agriculture
dc.titleHSV and NDVI Color Space Analysis and Sampling Procedure for Counting of Seedlings in Eucalyptus spp Plantations from High Definition Aerial Imagesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee

Arquivos

Coleções